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ISSN 印刷: 2152-5080
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近刊の記事
Uncertainty quantification for deep learning-based schemes for solving high-dimensional backward stochastic differential equations
Lorenc Kapllani, Long Teng, Matthias Rottmann
Lorenc Kapllani
Long Teng
Matthias Rottmann
Stability and Convergence of Solutions to Stochastic Inverse Problems Using Approximate Probability Densities
Troy Butler, Rylan Spence, Timothy Wildey, Tian Yu Yen
Troy Butler
Rylan Spence
Timothy Wildey
Tian Yu Yen
Bayesian³ Active learning for regularized arbitrary multi-element polynomial chaos using information theory
Ilja Kröker, Tim Brünnette, Nils Wildt, Maria Fernanda Morales Oreamuno, Rebecca Kohlhaas, Sergey Oladyshkin, Wolfgang Nowak
Ilja Kröker
Tim Brünnette
Nils Wildt
Maria Fernanda Morales Oreamuno
Rebecca Kohlhaas
Sergey Oladyshkin
Wolfgang Nowak
A novel probabilistic transfer learning strategy for polynomial regression
Wyatt Bridgman, Uma Balakrishnan, Reese E. Jones, Jiefu Chen, Xuqing Wu, Cosmin Safta, Yueqin Huang, Mohammad Khalil
Wyatt Bridgman
Uma Balakrishnan
Reese E. Jones
Jiefu Chen
Xuqing Wu
Cosmin Safta
Yueqin Huang
Mohammad Khalil
Variance-based sensitivity of Bayesian inverse problems to the prior distribution
John Darges, Alen Alexanderian, Pierre Gremaud
John Darges
Alen Alexanderian
Pierre Gremaud
Extremes of vector-valued processes by finite dimensional models
Hui Xu, Mircea D. Grigoriu
Hui Xu
Mircea D. Grigoriu
Learning a class of stochastic differential equations via numerics-informed Bayesian denoising
Zhanpeng Wang, Lijin Wang, Yanzhao Cao
Zhanpeng Wang
Lijin Wang
Yanzhao Cao
Covariance estimation using h-statistics in Monte Carlo and multilevel Monte Carlo methods
Sharana Kumar Shivanand
Sharana Kumar Shivanand
Bayesian Parameter Inference for Partially Observed Diffusions using Multilevel Stochastic Runge-Kutta Methods
Pierre Del Moral, Shulan Hu , Ajay Jasra, Hamza Ruzayqat, Xinyu Wang
Pierre Del Moral
Shulan Hu
Ajay Jasra
Hamza Ruzayqat
Xinyu Wang |
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